Senior Analyst, Amazon Analytics

AVP, Digital Analytics

HR Systems and Workforce Analyst

Logistics Analyst

Business Intelligence Analyst

Customer Service Specialist

Cost Accountant

AVP, IAM Program Manager

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Responsibilities: <ul><li>Lead analytics project assignments from scoping to delivery and solve business problems through basic to advanced analytics as applicable.</li><li>Regularly collaborate with US counterparts across the POD areas(Acquisition/Lifecycle/Products) to drive their priorities &amp; deliverables</li><li>Acquire proficiency with different data tools, software, techniques to improve current capabilities and to create new analytics and data science solutions</li><li>Lead a variety of short, medium &amp; long-term projects with Individual &amp; team from end to end, including ideation, data mining, strategy formulation, and presentation of results and recommendations.</li><li>Deliver projects adhering to timelines, accuracy &amp; compliance with meticulous project management</li><li>Build a culture of delivering insights instead of data &amp; reports. Deliver strategic insights across diverse open-ended projects like payment rates, Attrition analysis, activation analysis, lifecycle campaigns etc.</li></ul> Requirements: <ul><li>Bachelor’s degree in any discipline with 3+ years of experience in a financial services or in lieu of degree, minimum of 5+ years of experience in a financial services.</li><li>3 to 5 years of hands on Experience in SQL/ SAS /Tableau (2+ yrs of Hand on experience in SAS is Mandatory) with ability to independently build queries for data extraction &amp; aggregation - Comprehend key concepts &amp; processes in Finance ,translate them into quantitative attributes /metrics - Ability to Define Methodology , present insights to larger teams and influence decision making</li><li>Advanced proficiency in MS-Excel and MS-PowerPoint with superior data analyses and story boarding skills Good understanding of credit card industry financial P&amp;L drivers and key sensitivities</li><li>Strong written/oral communication &amp; stakeholder management skills</li><li>Proven ability to independently deliver Analytical solutions for Business problems</li></ul>

Responsibilities: <ul><li>Lead and deliver Digital Measurement Analytics for Digital Platforms in Agile methodology to drive digital data strategy that includes collection &amp; validation of data and reporting.</li><li>Partner with onsite Stakeholders and various process owners in marketing, technology and digital teams to plan and implement strategic priorities.</li><li>Present analytical results and actionable recommendations to key stakeholders on a recurring cadence, and propose innovative analytics solutions to drive business growth and enhance the customer experience.</li><li>Responsible for team’s effective communication, project deliverables, coaching team on adhering to expected timelines, accuracy &amp; compliance with meticulous project management.</li><li>Lead internal initiatives, perform other duties and/or special projects, as assigned.</li></ul> Requirements: <ul><li>Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant Analytics experience.</li><li>Minimum 6+ years of relevant work experience in lieu of specified degree.</li><li>2+ years of experience in Digital or Web Analytics Domain utilizing tools such as Adobe or Google Analytics and 2+ years of experience in SAS or SQL.</li><li>1+ years of Experience in Managing People, Coordinating work, Supervising, Evaluating performance and ensuring employees are trained.</li><li>Minimum 1+ years of experience in Data visualizations tools such as Tableau to drive insights.</li><li>Excellent oral and written communication skills with ability to collaborate, articulate and present solutions cutting across functional/agile teams in a simple yet compelling manner</li></ul>

Overview: <ul><li>The HR Technology and Integration (T&amp;I) organization was established as part of the HR team’s journey through digital transformation.&nbsp;</li><li>Working as part of our Global HR Technology &amp; Integration team this role to Build, implement and improves global HR systems, data, reporting and analytics platform.&nbsp;</li><li>As a product owner you will Develop and improve existing HR systems in partnership with our Global Talent Rewards &amp; HR Services teams to meet business requirements.</li></ul> Responsibilities: <ul><li>Act as a Global Product Owner to support our Global Total Rewards systems &amp; development.</li><li>Partner closely with our Global Total Rewards team to provide product knowledge &amp; solutions.</li><li>Proactively recommend solutions and ideas to help address technical problems that hinder productivity within Total Rewards.</li><li>Collaborates with Total rewards business teams to analyse requirements, develops and implements various solutions &amp; procedures.</li><li>Provides expertise in the analysis, design, development, and implementation of our Global HRIS system &amp; applications.</li><li>Streamline &amp; continuously improve system configuration to support Global Total Rewards team</li><li>Research solutions to support HR programs and processes.</li><li>Acts as a liaison with IT (Internal &amp; External) on technical issues and projects requiring data integration and other technical support.</li><li>Troubleshoots production issues, including problem research and analysis, and performing steps for resolution.</li><li>Documents system specifications, configurations, processes and procedures.</li><li>Partners with IT, HR and business to ensure effective use of methodologies and communication of test strategies, test results and performance through testing teams</li><li>Audits and reviews changes within HRIS to ensure proper controls and separation of duties and assists in establishing new controls, as needed.</li><li>Contributes to training program development and provides Tier 3 end-user support. Partners with COE’s &amp; Shared Services on enhancements, new rollouts, etc.</li><li>Works with external vendors and other service providers to ensure the efficient, accurate, and timely exchange of information</li></ul> Requirements: <ul><li>Bachelor degree (or equivalent); advanced degree preferred.</li><li>Typically requires minimum of 5+ years of SuccessFactors experience with end to end implementation projects</li><li>SuccessFactors certification with experience and expertise in modules like Compensation and Variable Pay</li><li>Hands on experience with SuccessFactors Employee Central (EC)</li><li>Candidate should ideally have been experience in at least 1 previous global / regional implementation • Provided recommendations with half-yearly and periodic system updates</li><li>Ability to communicate recommendations and solutions to non-technical clients and end users.</li><li>Experience building and executing test scripts for HR information system upgrades and enhancements. • Desired ITIL Service Management Certified</li><li>Advanced proficiency in MS Office, especially Excel</li></ul>

Responsibilities: <ul><li>Maintain &amp; report KPIs related to Freight, Duty, Warehousing, and Inventory to drive stakeholder engagement &amp; action.</li><li>Act as a liaison between regional supply chain leaders, Global Logistics, and Finance to collect known headwinds, tailwinds, and cost reduction projects for inclusion in the quarterly consensus forecast</li><li>Track attainment to forecast every month, including Pareto analysis of any misses &amp; gap closure plan</li><li>Challenge existing targets &amp; identify opportunities for further improvements by partnering with the Global Logistics &amp; Global Trade Services organizations</li><li>Drive adherence &amp; standardization in the Premium Freight approval workflow, including training, specific guidelines for customer liability, and data input and reconciliation at the regional level</li><li>Identify and lead a project(s) that directly contributes to freight and/or duty cost reduction</li><li>Develop guidelines for inventory stocking strategy (Make-To-Stock / Make-To-Order), Safety Stock, Lot Sizes</li><li>Collaborate with the Master Data team to review and maintain system parameters in accordance with the latter.</li><li>Lead Slow-Moving / Obsolete inventory cadence &amp; drive actions to completion, including End-of-Life procedure</li><li>Integrate with Corporate initiatives for inventory optimization (ABC/FMR, Healthy Stock methodology)</li><li>Create innovation and digitize reports for better data presentation and action determination.</li></ul> Requirements: <ul><li>Bachelors degree in Supply Chain Management, Business Administration, Information Systems, or a related field. A Masters degree is preferred.</li><li>Proven experience 5+ years in master data management, data governance, or a related field, preferably in a supply chain planning environment.</li><li>Strong knowledge of supply chain planning processes, including demand planning, inventory management, and production planning.</li><li>Proficiency in utilizing master data management tools and systems (e.g., SAP MDG, Informatica MDM, etc.).</li><li>Solid understanding of data governance principles, data quality management, and data lifecycle management.</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain dashboards and reports using Power BI and or Tableau</li><li>Connect to data sources including data warehouses (for example Redshift), ERP systems, and structured datasets</li><li>Prepare and transform data using Power Query, Tableau Prep, or similar tools</li><li>Build and maintain data models and calculations within BI tools to support scalable reporting</li><li>Translate business requirements into clear and effective visualizations and reports</li><li>Analyze data to identify trends, performance gaps, and opportunities for improvement</li><li>Ensure data accuracy by validating outputs against source systems and established definitions</li><li>Support user acceptance testing and incorporate feedback into reporting solutions</li><li>Maintain and enhance existing dashboards to improve usability and performance</li><li>Document key metrics, business logic, and report structures</li><li>Collaborate with cross-functional teams including business stakeholders and technical partners</li></ul> Requirements: <ul><li>Bachelor’s degree in Industrial engineering, Information Technology, Data Analytics, or related field</li><li>3 to 5 years of experience in Business Intelligence, Data Analytics, or Reporting roles</li><li>Experience developing dashboards using Power BI or Tableau</li><li>Experience working with enterprise data sources such as ERP systems or data warehouses</li><li>Experience supporting business or operational analytics, with supply chain exposure considered an advantage</li></ul>

Responsibilities: Customers Management: <ul><li>Handle incoming calls and emails from assigned accounts (customers) for various sales inquiries, including information on orders, lead times, incoterms, and stock availability.</li><li>Proactively communicate with customers to ensure understanding and resolution of all order-related issues.</li></ul> Analyse Demand Forecast/ Revenue &amp; Inventory Control: <ul><li>Analyze demand forecasts for assigned accounts (customers) and review/control inventory in accordance with business unit targets.</li><li>Conduct demand planning and upload forecasts to the system, managing replenishment orders and billing for consignment customer consumption.</li><li>Generate forecast and LE reports promptly and accurately for Monthly Sales Revenue.</li><li>Review customers actual demand and forecasts to meet their requirements and conduct comprehensive analysis to avoid excess inventory or non-moving stock.</li></ul> Customer Documentation &amp; File Management: <ul><li>File all relevant sales transactions, including purchase orders, order proof lists, order acknowledgments, shipping documents, shipment reports, customer&nbsp;</li></ul> Shipment Management: <ul><li>Prepare and process shipments according to customer requests.</li><li>Collaborate with Planning/Logistics to ensure on-time delivery based on customers request dates and confirm dates for STR performance.</li><li>Oversee drop-shipment orders and ensure continuous follow-up on shipment status, particularly for critical issues.</li><li>Submit credit releases to finance for held accounts.</li><li>Coordinate with Account Managers and customers to release shipments that are on hold.</li></ul> Payment Management: <ul><li>Follow up on open disputes/invoice discrepancies with Customer, Finance &amp; Sales to ensure the best possible A/R results. If necessary, issue credit/debit notes to resolve discrepancies.</li></ul> Requirements: <ul><li>Bachelor degree in related field.</li><li>5-10 years minimum in customer service/procurement or production planning, proficient in both written and spoken English, PC literate with Microsoft Window software.</li><li>Self-initiative, perseverance, people oriented and able to travel locally and aboard for short assignment</li></ul>

Responsibilities: Product Costing <ul><li>Calculate and maintain standard costs for products.</li><li>Determine labor rates and overhead absorption rates.</li><li>Maintain costing sheets and databases, including new product costing and pricing support.</li><li>Perform quarterly standard cost updates (cost roll).</li></ul> Cost Analysis <ul><li>Analyze and explain variances including:</li><li>Purchase price.</li><li>Material usage.</li><li>Labor and machine rates.</li><li>Efficiency and overhead.</li><li>Compare actual costs to standard costs and investigate deviations.</li><li>Identify root causes of cost fluctuations.</li><li>Analyze cost trends and evaluate cost behavior (fixed vs. variable).</li></ul> Month-End Activities <ul><li>Support month-end close with cost accounting entries.</li><li>Prepare journal entries with appropriate documentation.</li><li>Ensure accurate Cost of Goods Sold (COGS) reporting in P&amp;L.</li><li>Reconcile general ledger accounts with subledgers.</li></ul> Budgeting &amp; Forecasting Support <ul><li>Support preparation of cost budgets for operations/production.</li><li>Provide historical cost data for planning and analysis.</li><li>Calculate standard costs for budget models.</li><li>Monitor actual performance vs. budget.</li><li>Support forecasting through cost projections.</li></ul> Cost Optimization &amp; Business Partnering <ul><li>Identify cost reduction opportunities through data analysis.</li><li>Track and validate savings from cost improvement initiatives.</li><li>Partner with procurement on material cost updates.</li><li>Work closely with production on labor and overhead rates.</li><li>Provide cost insights to support operational decision-making.</li></ul> Requirements: <ul><li>Education &amp; Experience.</li><li>Bachelor’s degree in Finance, Accounting, Economics, or related field.</li><li>Professional accounting qualification is a plus.</li><li>Minimum 3+ years of experience in cost accounting (manufacturing environment preferred).</li><li>Experience in product costing and standard costing methodologies.</li><li>Exposure to SAP or similar ERP systems.</li></ul> Technical Skills <ul><li>Strong understanding of cost accounting principles and practices.</li><li>Advanced proficiency in Microsoft Excel.</li><li>Knowledge of Power BI and/or VBA is an advantage.</li><li>Familiarity with integrated systems and costing modules.</li></ul> Functional &amp; Industry Experience <ul><li>Experience working in a manufacturing or production environment.</li><li>Understanding of production processes, cost drivers, and operational workflows.</li><li>Hands-on exposure to plant-level costing and operational finance.</li></ul> Core Competencies <ul><li>Strong analytical and problem-solving skills.</li><li>High attention to detail and accuracy.</li><li>Structured and organized approach with the ability to manage multiple priorities.</li><li>Ability to work cross-functionally and collaborate with operations and supply chain teams.</li><li>Strong communication skills in English (written and verbal).</li></ul>

Responsibilities: <ul><li>Support critical IAM programs; coordinate cross-functionally with IAM teams, Information Security teams and business IT stakeholders to manage the successful delivery of IAM projects</li><li>Deliver on suitable short-term and long-term strategic objectives</li><li>Drive and deliver program issues/risks and resolution, decision logs, communication plans and other program documentation to ensure project goals are achieved and audit traceability is in place</li><li>Engage regularly with key stakeholders on issues/risk and decisions and gather feedback on implementation of solutions impacting the organization</li><li>Establish and support program metrics and evaluation methods to assess program strengths and identify areas for improvement as well as timely reporting of program status throughout its life cycle</li><li>Prepare and present reports for program sponsors and leadership</li></ul> Requirements: <ul><li>Bachelor’s degree or equivalent experience; technology or equivalent related field preferred, with a minimum of 6 years of experience in Information Technology OR in lieu of the Bachelors degree, a minimum of 8 years of experience in Information Technology</li><li>Minimum of 5 years of experience managing large scale, cross functional project</li><li>Minimum of 5 years of experience in information technology, with a focus on information security in one or more of the following areas: IAM, security operations, security architecture, policy/governance</li><li>Minimum of 4 years of experience supporting auditors, audit inquiries and ad-hoc reporting</li><li>Solid management skills</li><li>Experience with metrics for assessing and reporting program progress, productivity and variance analysis</li><li>Strong problem solving skills</li><li>Strong oral and written communication (presentation) skills</li><li>Program Management Certified (PMP) preferred</li></ul>

Responsibilities: <ul><li>Lead experimentation and model development for AI/ML solutions in legal products.</li><li>Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Proven experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Ability to define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Able to analyze large-scale legal datasets to extract insights and improve model performance.</li></ul>

Responsibilities: <ul><li>Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Education: Master’s degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Strong experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Strong foundation in statistics, modeling, and large-scale text processing.</li></ul>

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193 discounted cash flow analysis Jobs found

Senior Analyst, Amazon Analytics

AVP, Digital Analytics

HR Systems and Workforce Analyst

Logistics Analyst

Business Intelligence Analyst

Customer Service Specialist

Cost Accountant

AVP, IAM Program Manager

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

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193 discounted cash flow analysis Jobs found

Senior Analyst, Amazon Analytics

AVP, Digital Analytics

HR Systems and Workforce Analyst

Logistics Analyst

Business Intelligence Analyst

Customer Service Specialist

Cost Accountant

AVP, IAM Program Manager

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

TALENT

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Contact Us

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.